Seralar için Tam Otomatik IoT Tabanlı Sulama Sistemi Tasarımı

Year 2022, Volume: 37 Issue: 3, 699 - 706, 17.10.2022

Halit Eriş Eser Çeliktopuz Ulus Çevik Burçak Kapur

https://doi.org/10.21605/cukurovaumfd.1190306

Abstract

Türkiye, topraklarında tarım yapma potansiyeli yüksek bir ülkedir. Tarımsal çıktı almak için sulama bir ihtiyaçtır. Optimal sulama ile ürün verimi artırılır. Bu çalışmada, seralar için Nesnelerin İnterneti tabanlı bir yaklaşımla tam otomatik bir sulama sistemi tasarlandı. 10HS toprak nemi ve pt1000 sıcaklık sensörlerini kullanan sistem yardımıyla, sulamaya dayalı karar sistemi oluşturularak, bitkilerin optimum sulama alması sağlandı. Evapotranspirasyon denetleyici tabanlı sulamaya kıyasla 25 ton/dönüm su tasarrufu elde edildi. Sistem çevrimiçi çalışır ve iki çalışma moduna sahip olarak tasarlandı: tam otomatik ve manuel. Tam otomatik sistem, su israfını ve işçilik maliyetlerini azaltarak tasarruf elde edildi. Modlar arasında geçiş, bir mobil uygulama tasarlanarak gerçekleştirildi ve sistemin parametreleri bulut hizmetleri aracılığıyla iletişim kurdu.

Keywords

Nesnelerin interneti, Akıllı sulama, Toprak nem sensörleri

A Design of Fully Automated Irrigation System IoT-Based Approach for Greenhouses

Abstract

Turkey is a country with a high potential for agriculture purposes. Irrigation is a need to receive agricultural output. Crop yield increases with optimal irrigation. Therefore, this work has designed a fully automated irrigation system with an IoT-based approach for greenhouses. Using 10HS soil moisture and pt1000 temperature sensors, the system has successfully generated irrigation-based decisions and saved 25 tons/da water compared to Et (Evapotranspiration) controller-based irrigation while plants received optimal irrigation. The system works online and has two operation modes: fully automated and manual. Fully automated system decreased water-wastages and labouring costs. Switching between modes can be operated using a mobile application and parameters of the system communicates via cloud services.

Keywords

Internet of things, Smart irrigation, Soil moisture sensors

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